Fundamental Challenges and Novel Methodologies in the Next Generation Computational Electromagnetics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 4259
Special Issue Editors
Interests: computational electromagnetics; integral equations; method of moments; hierarchical preconditioning schemes; advanced quadrature integration schemes
Special Issues, Collections and Topics in MDPI journals
Interests: computational electromagnetics and multi-physics analysis; power integrity and signal integrity analyses of integrated circuits; simulation-based design of multi-scale metamaterials and reconfigurable antennas
Interests: microwave imaging; computational electromagnetism; electromagnetic fields; electromagnetic devices; antennas; numerical modelling
Special Issue Information
Dear Colleagues,
this Special Issue will provide an overview of the most recent results and research activities concerned with computational electromagnetics (CEM). It will be devoted to CEM experts and practitioners sharing the fundamental obstacles and innovative ideas in electromagnetic analysis, design, and optimization.
Over the past decade, we have witnessed many CEM advancements and simulation-driven discoveries. However, significant challenges remain, which require non-traditional thinking.
These challenges include but are not limited to the following:
- multi-physics and multidisciplinary simulation,
- uncertainty qualification and statistical wave modeling,
- simulation-aided EM design and optimization,
- machine learning and deep learning based computational electromagnetics methods,
- high-performance EM computing via parallel and GPU computations,
- a posteriori error estimate and adaptive mesh refinements,
- reduced order modeling applied to EM problems,
- fast and efficient EM computational methods,
- domain decomposition techniques.
The goal of this Special Issue is to stimulate the discussion and exploration of disruptive technologies in addition to traditional topics.
Prof. Francesca Vipiana
Prof. Zhen Peng
Dr. Jorge A. Tobon Vaquez
Guest Editors
Manuscript Submission Information
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Keywords
- Computational electromagnetics
- Multi-physics and multidisciplinary simulation
- Simulation-based design
- Simulation-based optimization
- Domain decomposition techniques
- Multi-scale structures
- Machine learning
- Deep learning
- Parallel programming
- GPU
- Reduced order modeling
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